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Enhancing Recruitment with LLMs and Chatbots

  • Conference paper
  • First Online:
Distributed Computing and Artificial Intelligence, Special Sessions II, 21st International Conference (DCAI 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1151))

  • 26 Accesses

Abstract

Traditional approaches in the competitive recruitment landscape frequently encounter difficulties in effectively identifying exceptional applicants, resulting in delays, increased expenses, and biases. This study proposes the utilisation of contemporary technologies such as Large Language Models (LLMs) and chatbots to automate the process of resume screening, thereby diminishing prejudices and enhancing communication between recruiters and candidates. Algorithms based on LLM can greatly transform the process of screening by improving both its speed and accuracy. By integrating chatbots, it becomes possible to have personalised interactions with candidates and streamline the process of scheduling interviews. This strategy accelerates the hiring process while maintaining principles of justice and ethics. Its objective is to improve algorithms and procedures to meet changing requirements and enhance the competitive advantage of talent acquisition within organisations.

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Author information

Authors and Affiliations

  1. Universidade Aberta, Lisbon, Portugal

    Liliana Novais, Vitor Rocio & Jorge Morais

  2. Instituto Superior de Engenharia do Porto, Porto, Portugal

    Liliana Novais

  3. SEG Automotive Portugal, Vila do Conde, Portugal

    Liliana Novais

  4. INESC TEC, Porto, Portugal

    Vitor Rocio & Jorge Morais

Authors
  1. Liliana Novais
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  2. Vitor Rocio
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  3. Jorge Morais
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Corresponding author

Correspondence to Liliana Novais .

Editor information

Editors and Affiliations

  1. ISEP/GECAD Instituto Superior de Engenharia do Porto, Porto, Portugal

    Goreti Marreiros

  2. Biotechnology, Intelligent Systems and Educational Technology (BISITE) Research Group, University of Salamanca, Salamanca, Spain

    Laura Grande

  3. Departamento de Ciencias de la Computación e Inteligencia Artificial, University of Alcalá, Madrid, Spain

    Juan Pedro Llerena

  4. ISEP/GECAD Instituto Superior de Engenharia do Porto, Porto, Portugal

    Luís Conceição

  5. Sunmoon University, Asan-si, Korea (Republic of)

    Hoon Ko

  6. Biotechnology, Intelligent Systems and Educational Technology (BISITE) Research Group, University of Salamanca, Salamanca, Spain

    Marta Plaza

  7. Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy

    Michela Ricca

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Novais, L., Rocio, V., Morais, J. (2025). Enhancing Recruitment with LLMs and Chatbots. In: Marreiros, G., et al. Distributed Computing and Artificial Intelligence, Special Sessions II, 21st International Conference. DCAI 2024. Lecture Notes in Networks and Systems, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-031-80946-0_30

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